Alvin Manoj Alex
Software developer crafting solutions for real problems
About
I’m a software developer focused on building secure, reliable, and scalable applications. I enjoy understanding how systems work end-to-end, from architecture to user experience, and applying that perspective to create thoughtful, user-centered solutions.
Currently, I work across the full stack with modern web technologies, continuously learning and experimenting with new tools that solve meaningful problems. I’m driven by curiosity and a desire to contribute to technology through impactful code and collaboration.
Location
New York City, NY
Experience
1 year
Selected Work
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Skills & Technologies
Languages
- Python
- Java
- C / C++
Frontend
- React / Next.js
- React Native
- Node.js
Backend & Data
- REST APIs
- Data Pipelines
- Apache Spark
Databases
- MySQL
- MongoDB
- Data Management
AI & ML
- Machine Learning
- Deep Learning
- PyTorch
DevOps & Tools
- Git / GitHub
- Docker
- AWS
Methodologies
- OOP & Design Patterns
- Agile / Scrum
- A/B Testing
Experience
MABANEE
Software Engineer Intern
- •Diagnosed and fixed production bugs in an internal workforce attendance system, including resolving ISO year date format causing SQL data inconsistencies.
- •Identified and fixed improper HTTP request types sent to an Oracle Fusion servlet through targeted testing and log analysis, restoring correct backend communication and application functionality.
Signal Corporation
Software Engineer Intern
- •Developed and enhanced a location-based Named Entity Recognition (NER) system by integrating transfer learning, optimizing model architecture, and extending the existing Stanford NER pipeline to improve accuracy.
- •Engineered and evaluated multiple ML/NLP models by benchmarking CRF, and state-of-the-art transformer architectures for NER tasks, resulting in a 2% increase in precision and recall.
IEEE
Research Intern
- •Engineered and enhanced deep learning models for target classification on the MSTAR SAR dataset, fine-tuning ResNet, VGG, and custom CNN architectures.
- •Built end-to-end ML workflows, including dataset preprocessing, feature extraction, model training, hyperparameter tuning, and deployment-ready inference modules using Python, PyTorch, and NumPy.